The HiveR Package
نویسنده
چکیده
The key innovation in a hive plot, compared to other means of graphically displaying network structure, is in how node information is handled. Nodes are assigned to axes based upon qualitative or quantitative characteristics of the the node, for instance membership in a certain category, and the position of the node along the axis is based upon some quantitative characteristic of the node. In a hive plot, edges are handled in a fairly standard way, but may be colored or have a width or weight which encodes an interesting value. In creating a hive plot, one maps network parameters to the hive plot, and thus the process can be readily tuned to meet one’s needs. The mappable parameters are listed in Table 1, and the mapping is limited only by one’s creativity and the particular knowledge domain. Thus ecologists have their own measures of food webs, social network analysts have various measures describing interconnectedness etc. An essential point is that mapping network parameters in this way results in a reproducible plot which is particularly well-suited for comparing related networks. Comparison of ”hair balls” is notoriously fraught with problems.
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HiveR: 2 and 3D Hive Plots of Networks
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تاریخ انتشار 2011